Master of Science in Statistics and Data Science (M.S.) - Hybrid - University of Houston
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Master of Science in Statistics and Data Science (M.S.) - Hybrid

The Department of Mathematics, at the University of Houston, launched a Master of Science in Statistics and Data Science program ("MSDS") in the Fall of 2017. This is a full-time Hybrid program which consists of 30 credit hours and can be completed in 1 year (Fall, Spring, and Summer semesters).



 Program Highlights:
  • One-calendar-year hybrid program combining on-campus and online courses (total of 30 credits)
  • Builds a solid foundation in applied statistics and provides rigorous principles to guide statistical inference
  • Teaches fundamental skills in modeling and analysis of complex data
  • Provides hands-on experience through in-class learning and research project internships in industrial, commercial or biomedical settings
  • Improves programming skills to the professional level for data analytics
  • Broadens knowledge of statistical research and machine learning
  • Requires a minimal prerequisite of mathematical/statistical knowledge and programming languages
  • Mentored by experienced professors of many years teaching and research.
  • Most efficient and cost-effective professional degree program in the Houston area
  • STEM Designated Degree Program


  • 8 Core Classes (24 credit hours):
  • Probability Models and Statistical Computing
  • Linear Models and Design of Experiments
  • Statistical Learning and Data Mining
  • Programming Foundation for Data Analytics
  • Applied Statistics and Multivariate Analysis
  • Deep Learning and Artificial Neural Networks
  • Data Visualization
  • Big Data Analytics


  • 2 Electives from the following:
  • Data Clustering and Machine Learning (syllabus)
  • Biomedical Data Analysis (syllabus)
  • Case Studies in Data Science (syllabus)


  • Note: International students can not exclusively register for online courses.

Texas resident tuition: (Academic Year 2020) $598.50 per credit hour. Please be sure to check for a full picture of what you’ll pay. *Cost is subject to change

Please click the Collegenet link to apply.


  • Calculus II 
  • Linear Algebra


 Admission Deadlines:

Fall Semester admissions only. No application fee for U.S. Citizens

  • International Applicants (Non-Resident): May 1st 
  • U.S. Citizens (Resident): June 1st 

To start your application, click this link.


 Admission Requirements:

 Applicants must hold a bachelor’s or master’s degree. A major in Mathematics is not required. The Admissions Committee evaluates each applicant’s credentials, considering a broad range of criteria, including:

  • 3.0+ : Cumulative GPA of 3.00 or higher in the last 60 hours
  • 304+ : GRE scores (verbal, quantitative and analytical writing) taken in the last 5 years; Advanced GRE is recommended but optional
  • Content of prior degree programs and competency in mathematics, including prerequisites
  • Letters of recommendation from three individuals (preferably faculty members)
  • English proficiency test scores, when applicable
  • Resume and personal statement
  • Background in probability and statistics is not essential, but is a plus
  • Proficiency in at least one of the main programing languages used in data analysis (R, SAS, Matlab, Python, etc.) is not required, but is helpful




Lisa Vaughn, Program , Fleming 11F

Wenjiang Fu, PhD. Professor and Program Director

Cathy Poliak, PhD. Instructional Assistant Professor and Associate Program Director

Robert Azencott, PhD. Professor and Program Scientific Advisor


Mailing Address: Department of Mathematics, University of Houston, 3551 Cullen Blvd., 641 Philip G. Hoffman Hall, Houston, TX 77204-3008



For a list of current students in the program, please click this link.

To view the poster, click this link.

To view the brochure, click this link


Spring 2019 "MSDS" Open House 

Spring 2018 "MSDS" Open House 


"MSDS" Seminar Calendar



*Note: The correct designation for degrees on the transcript, will be denoted as: Statistics and Data Science, M.S.